1 The Relational Model Chapter 3. 2 Objectives Representing data using the relational model. ...

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The Relational Model

Chapter 3

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Objectives

Representing data using the relational model.

Expressing integrity constraints on data. Creating, modifying, destroying, and

altering relation instances using SQL. Obtaining a relational database design

from an ER diagram. Introducing views.

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Why Study the Relational Model?

Most widely used model. Vendors: IBM, Informix, Microsoft, Oracle,

Sybase, etc. “Legacy systems” in older models

E.g., IBM’s IMS Recent competitor: object-oriented model

ObjectStore, Versant, Ontos A synthesis emerging: object-relational model

• Informix Universal Server, UniSQL, O2, Oracle, DB2

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Example of a Relation

sid name login age gpa

53666 Jones jones@cs 18 3.4

53688 Smith smith@eecs 18 3.2 53650 Smith smith@math 19 3.8

Cardinality = 3, arity = 5, all rows distinct. Commercial systems allow duplicates. Order of attributes may or may not matter! Do all columns in a relation instance have to be distinct? Depends on whether they are ordered or not.

Schema: Students(sid: string, name: string, login: string, age: integer, gpa: real). Instance:

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Relational Database Concepts Relation: made up of 2 parts: Instance : a table, with rows and columns.

#Rows = cardinality, #fields = degree / arity. Schema : specifies name of relation, plus name and domain

(type) of each column (attribute). Can think of a relation as a set of rows or tuples (i.e., all

rows are distinct), where each tuple has the same arity as the relation schema.

Relational database: a set of relations, each with distinct name.

Relational DB schema: set of schemas of relations in the DB.

Relational DB instance: set of relation instances in the DB.

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Relational Query Languages

A major strength of the relational model: supports simple, powerful querying of data.

Queries can be written intuitively (i.e. declaratively), and the DBMS is responsible for efficient evaluation. Users tell the DBMS what to do, and the DBMS

figures out how to do it and does it efficiently! The key: precise semantics for relational queries. Allows the optimizer to extensively re-order

operations, and still ensure that the answer does not change.

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The SQL Query Language

Developed by IBM (system R) in the 1970s.

Need for a standard since it is used by many vendors.

Standards: SQL-86 SQL-89 (minor revision) SQL-92 (major revision – Triggers and objects) SQL-99 (major extensions – Datawarehousing;

current standard)

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Creating Relations in SQL

Creates the Students relation. Observe that the type (domain) of each field is specified, and enforced by the DBMS whenever tuples are added or modified.

As another example, the Enrolled table holds information about courses that students take.

CREATE TABLE Students(sid: CHAR(20), name: CHAR(20), login: CHAR(10), age: INTEGER, gpa: REAL)

CREATE TABLE Enrolled(sid: CHAR(20), cid: CHAR(20), grade:

CHAR(2))

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Destroying and Altering Relations

Destroys the relation Students. The schema information and the tuples are deleted.

DROP TABLE Students

The schema of Students is altered by adding a new field; every tuple in the current instance is extended with a null value in the new field.

ALTER TABLE Students ADD COLUMN firstYear: integer

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Adding and Deleting Tuples

Can insert a single tuple using:

INSERT INTO Students (sid, name, login, age, gpa)VALUES (53688, ‘Smith’, ‘smith@ee’, 18, 3.2)

Can delete all tuples satisfying some condition (e.g., name = Smith):

DELETE FROM Students SWHERE S.name = ‘Smith’

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Integrity Constraints (ICs)

IC: condition that must be true for any instance of the database; e.g., domain constraints. ICs are specified when schema is defined. ICs are checked when relations are modified.

A legal instance of a relation is one that satisfies all specified ICs. DBMS should not allow illegal instances.

If the DBMS checks ICs, stored data is more faithful to real-world meaning. Avoids data entry errors, too!

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Primary Key Constraints

A set of fields is a key for a relation if :1. No two distinct tuples can have same values in

all key fields, and2. This is not true for any subset of the key. If part 2 of this definition is false, then we have

a superkey. If there’s >1 key for a relation, one of the keys

is chosen (by DBA) to be the primary key. E.g., sid is a key for Students. (What about

name?) The set {sid, gpa} is a superkey.

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Primary and Candidate Keys in SQL

Possibly many candidate keys (specified using UNIQUE), one of which is chosen as the primary key. CREATE TABLE Enrolled

(sid CHAR(20) cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid,cid) )

“For a given student and course, there is a single grade.” vs. “Students can take only one course, and receive a single grade for that course; further, no two students in a course receive the same grade.”

Used carelessly, an IC can prevent the storage of database instances that arise in practice!

CREATE TABLE Enrolled (sid CHAR(20) cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid), UNIQUE (cid, grade) )

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Foreign Keys in SQL

Only students listed in the Students relation should be allowed to enroll for courses.

CREATE TABLE Enrolled (sid CHAR(20), cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid,cid), FOREIGN KEY (sid) REFERENCES Students )

sid name login age gpa

53666 Jones jones@cs 18 3.453688 Smith smith@eecs 18 3.253650 Smith smith@math 19 3.8

sid cid grade53666 Carnatic101 C53666 Reggae203 B53650 Topology112 A53666 History105 B

EnrolledStudents

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Foreign Keys, Referential Integrity

Foreign key : Set of fields in one relation that is used to `refer’ to a tuple in another relation. (Must correspond to primary key of the second relation.) Like a `logical pointer’.

E.g. sid is a foreign key referring to Students: Enrolled(sid: string, cid: string, grade: string) If all foreign key constraints are enforced, referential

integrity is achieved, i.e., no dangling references. Can you name a data model w/o referential integrity?

• Links in HTML!

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Enforcing Referential Integrity in SQL

SQL/92 and SQL:1999 support all 4 options on deletes and updates. Default is NO ACTION

(delete/update is rejected)

CASCADE (also delete all tuples that refer to deleted tuple)

SET NULL / SET DEFAULT (sets foreign key value of referencing tuple)

CREATE TABLE Enrolled (sid CHAR(20), cid CHAR(20), grade CHAR(2), PRIMARY KEY (sid,cid), FOREIGN KEY (sid) REFERENCES Students

ON DELETE CASCADEON UPDATE SET NULL)

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Where do ICs Come From? ICs are based upon the semantics of the real-

world enterprise that is being described in the database relations.

We can check a database instance to see if an IC is violated, but we can NEVER infer that an IC is true by looking at an instance. An IC is a statement about all possible instances! From example, we know name is not a key, but the

assertion that sid is a key is given to us. Key and foreign key ICs are the most common;

more general ICs supported too.

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Transactions and Constraints A transaction program is a sequence of

queries, inserts, deletes, etc that access the DB.

When should constraints be checked within a transactions? Immediately check the constraint Defer the constraint checking at a later time point

SQL allows two constraint modes. SET CONSTRAINT MyConstraint IMMEDIATE SET CONSTRAINT MyConstraint DEFERRED ICs are immediate by default; deferred ICs are

checked at commit time

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Logical DB Design: ER to Relational

The ER model represent the initial, high-level database design.

The task is to generate a relational database schema that is as close as possible to the ER model.

The mapping is approximate since it is hard to translate all the constraints of the ER model into an efficient logical (relational) model.

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Entity Sets to Tables Each entity attribute becomes an attribute of the table. Domain constraints become appropriate SQL types. The primary key of the entity set become the primary

key of the table.

CREATE TABLE Employees (ssn CHAR(11), name CHAR(20), lot INTEGER, PRIMARY KEY (ssn))

Employees

ssnname

lot

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Relationship Sets to Tables

In translating a relationship set (without constraints) to a relation, attributes of the relation must include: Keys for each

participating entity set (as foreign keys).• This set of attributes

forms a superkey for the relation.

All descriptive attributes.

CREATE TABLE Works_In( ssn CHAR(1), did INTEGER, since DATE, PRIMARY KEY (ssn, did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments)

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Relationship Sets to Tables (Cont’d)

In translating a looping relationship set (without constraints) to a relation, attributes of the relation must include: Keys built by concatenating the

role indicators and the primary key of the participating entity set (as foreign keys).

• This set of attributes forms a superkey for the relation.

All descriptive attributes. Explicit naming of the

referenced key.

CREATE TABLE Reports_to( supervisor_ssn CHAR(11), subordinate_ssn CHAR(11), PRIMARY KEY (supervisor_ssn, subordinate_ssn), FOREIGN KEY (supervisor_ssn) REFERENCES Employees(ssn), FOREIGN KEY (subordinate_ssn) REFERENCES Employees(ssn))

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Review: Key Constraints

Each dept has at most one manager, according to the key constraint on Manages.

Translation to relational model?

Many-to-Many1-to-1 1-to Many Many-to-1

dname

budgetdid

since

lot

name

ssn

ManagesEmployees Departments

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Translating ER Diagrams with Key Constraints

Map relationship to a table: Note that did is the

key now! Separate tables for

Employees and Departments.

2nd solution: Since each department has a unique manager, we could instead combine Manages and Departments.

(The general case??)

CREATE TABLE Manages( ssn CHAR(11), did INTEGER, since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments)

CREATE TABLE Dept_Mgr( did INTEGER, dname CHAR(20), budget REAL, ssn CHAR(11), since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees)

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Review: Participation Constraints

Does every department have a manager? If so, this is a participation constraint: the

participation of Departments in Manages is said to be total (vs. partial).• Every did value in Departments table must

appear in a row of the Manages table (with a non-null ssn value!)lot

name dnamebudgetdid

sincename dname

budgetdid

since

Manages

since

DepartmentsEmployees

ssn

Works_In

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Participation Constraints in SQL

We can capture participation constraints involving one entity set in a binary relationship, but little else (without resorting to CHECK constraints).

CREATE TABLE Dept_Mgr( did INTEGER, dname CHAR(20), budget REAL, ssn CHAR(11) NOT NULL, since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees, ON DELETE NO ACTION)

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Review: Weak Entities

A weak entity can be identified uniquely only by considering the primary key of another (owner) entity. Owner entity set and weak entity set must

participate in a one-to-many relationship set (1 owner, many weak entities).

Weak entity set must have total participation in this identifying relationship set.

lot

name

agepname

DependentsEmployees

ssn

Policy

cost

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Translating Weak Entity Sets Weak entity set and identifying

relationship set are translated into a single table. When the owner entity is deleted, all owned

weak entities must also be deleted.CREATE TABLE Dep_Policy ( pname CHAR(20), age INTEGER, cost REAL, ssn CHAR(11) NOT NULL, PRIMARY KEY (pname, ssn), FOREIGN KEY (ssn) REFERENCES Employees, ON DELETE CASCADE)

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Review: ISA Hierarchies

Contract_Emps

namessn

Employees

lot

hourly_wages

ISA

Hourly_Emps

contractid

hours_worked

As in C++, or other PLs, attributes are inherited. If we declare A ISA B, every A entity is also considered to be a B entity.

Overlap constraints: Can Joe be an Hourly_Emps as well as a Contract_Emps entity? (Allowed/disallowed)

Covering constraints: Does every Employees entity also have to be an Hourly_Emps or a Contract_Emps entity? (Yes/no)

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Translating ISA Hierarchies to Relations

General approach: 3 relations: Employees, Hourly_Emps and Contract_Emps.

• Hourly_Emps: Every employee is recorded in Employees. For hourly emps, extra info recorded in Hourly_Emps (hourly_wages, hours_worked, ssn); must delete Hourly_Emps tuple if referenced Employees tuple is deleted).

• Queries involving all employees easy, those involving just Hourly_Emps require a join to get some attributes.

Alternative: Just Hourly_Emps and Contract_Emps. Hourly_Emps: ssn, name, lot, hourly_wages, hours_worked. Each employee must be in one of these two subclasses.

Overlap/covering constraints expressed in SQL only via assertions. (More on assertions later.)

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Review: Binary vs. Ternary Relationships

What are the additional constraints in the 2nd diagram?

agepname

DependentsCovers

name

Employees

ssn lot

Policies

policyid cost

Beneficiary

agepname

Dependents

policyid cost

Policies

Purchaser

name

Employees

ssn lot

Bad design

Better design

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Binary vs. Ternary Relationships (Contd.)

The key constraints allow us to combine Purchaser with Policies and Beneficiary with Dependents.

Participation constraints lead to NOT NULL constraints.

What if Policies is a weak entity set?

CREATE TABLE Policies ( policyid INTEGER, cost REAL, ssn CHAR(11) NOT NULL, PRIMARY KEY (policyid). FOREIGN KEY (ssn) REFERENCES Employees, ON DELETE CASCADE)

CREATE TABLE Dependents ( pname CHAR(20), age INTEGER, policyid INTEGER, PRIMARY KEY (pname, policyid). FOREIGN KEY (policyid) REFERENCES Policies, ON DELETE CASCADE)

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Views

A view is just a relation, but we store a definition, rather than a set of tuples.

CREATE VIEW YoungActiveStudents (name, grade)AS SELECT S.name, E.gradeFROM Students S, Enrolled EWHERE S.sid = E.sid and S.age<21

Views can be dropped using the DROP VIEW

command. How to handle DROP TABLE if there’s a view on the

table?• DROP TABLE command has options to let the user

specify this: RESTRICT / CASCADE.

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Views and Security

Views can be used to present necessary information (or a summary), while hiding details in underlying relation(s). Given YoungStudents, but not Students or

Enrolled, we can find students s who are enrolled, but not the cid’s of the courses they are enrolled in.

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Relational Model: Summary

A tabular representation of data. Simple and intuitive, currently the most widely

used. Integrity constraints can be specified by the

DBA, based on application semantics. DBMS checks for violations. Two important ICs: primary and foreign keys In addition, we always have domain constraints.

Powerful and natural query languages exist. Rules to translate ER to relational model